A High-Resolution Earth Observations and Machine Learning-Based Approach to Forecast Waterborne Disease Risk in Post-Disaster Settings

A High-Resolution Earth Observations and Machine Learning-Based Approach to Forecast Waterborne Disease Risk in Post-Disaster Settings

Responding to infrastructural damage in the aftermath of natural disasters at a national, regional, and local level poses a significant challenge. Damage to road networks, clean water supply, and sanitation infrastructures, as well as social amenities like schools and hospitals, exacerbates the circ...

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Bibliographic Details
Main Authors: Farah Nusrat, Musad Haque, Derek Rollend, Gordon Christie, Ali S. Akanda
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Climate
Subjects:
earth observations
machine learning
waterborne disease forecast
post-disaster
Online Access:https://www.mdpi.com/2225-1154/10/4/48

Internet

https://www.mdpi.com/2225-1154/10/4/48

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